Towards collaborative sensing using dynamic intelligent virtual sensors

Radu-Casian Mihailescu; Jan Persson; Paul Davidsson; Ulrik Eklund

doi:10.1007/978-3-319-48829-5_21

Towards collaborative sensing using dynamic intelligent virtual sensors

Radu-Casian Mihailescu, Jan Persson, Paul Davidsson, Ulrik Eklund

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

The recent advent of ’Internet of Things’ technologies is set to bring about a plethora of heterogeneous data sources to our immediate environment. In this work,we put forward a novel concept of dynamic intelligent virtual sensors (DIVS) in order to support the creation of services designed to tackle complex problems based on reasoning about various types of data. While in most of works presented in the literature virtual sensors are concerned with homogeneous data and/or static aggregation of data sources,we define DIVS to integrate heterogeneous and distributed sensors in a dynamic manner. This paper illustrates how to design and build such systems based on a smart building case study. Moreover,we propose a versatile framework that supports collaboration between DIVS,via a semanticsempowered search heuristic,aimed towards improving their performance.

Original language	English
Title of host publication	Intelligent Distributed Computing X. IDC 2016
Publisher	Springer
Pages	217-226
Number of pages	10
ISBN (Electronic)	9783319488295
ISBN (Print)	9783319488288
DOIs	https://doi.org/10.1007/978-3-319-48829-5_21
Publication status	Published - 2017

Publication series

Name	Studies in Computational Intelligence
Volume	678
ISSN (Print)	1860-949X

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-319-48829-5_21

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title = "Towards collaborative sensing using dynamic intelligent virtual sensors",

abstract = "The recent advent of {\textquoteright}Internet of Things{\textquoteright} technologies is set to bring about a plethora of heterogeneous data sources to our immediate environment. In this work,we put forward a novel concept of dynamic intelligent virtual sensors (DIVS) in order to support the creation of services designed to tackle complex problems based on reasoning about various types of data. While in most of works presented in the literature virtual sensors are concerned with homogeneous data and/or static aggregation of data sources,we define DIVS to integrate heterogeneous and distributed sensors in a dynamic manner. This paper illustrates how to design and build such systems based on a smart building case study. Moreover,we propose a versatile framework that supports collaboration between DIVS,via a semanticsempowered search heuristic,aimed towards improving their performance.",

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AU - Mihailescu, Radu-Casian

AU - Persson, Jan

AU - Davidsson, Paul

AU - Eklund, Ulrik

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AB - The recent advent of ’Internet of Things’ technologies is set to bring about a plethora of heterogeneous data sources to our immediate environment. In this work,we put forward a novel concept of dynamic intelligent virtual sensors (DIVS) in order to support the creation of services designed to tackle complex problems based on reasoning about various types of data. While in most of works presented in the literature virtual sensors are concerned with homogeneous data and/or static aggregation of data sources,we define DIVS to integrate heterogeneous and distributed sensors in a dynamic manner. This paper illustrates how to design and build such systems based on a smart building case study. Moreover,we propose a versatile framework that supports collaboration between DIVS,via a semanticsempowered search heuristic,aimed towards improving their performance.

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M3 - Conference contribution

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T3 - Studies in Computational Intelligence

SP - 217

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BT - Intelligent Distributed Computing X. IDC 2016

PB - Springer

ER -

Towards collaborative sensing using dynamic intelligent virtual sensors

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